Statistics and Probability Full Course || Statistics For Data Science

Statistics is the discipline that concerns the collection, organization, analysis, interpretation and presentation of data. In applying #statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. This course is the comprehensive explanation of all statistics which very crucial for data science as well.

⭐️ Table of Contents ⭐️
⌨️ (0:00) Lesson 1: Getting started with statistics
⌨️ (16:57) Lesson 2: Data Classification
⌨️ (40:32) Lesson 3: The process of statistical study
⌨️ (1:05:30) Lesson 4: Frequency distribution
⌨️ (1:28:48) Lesson 5: Graphical displays of data
⌨️ (2:05:34) Lesson 6: Analyzing graph
⌨️ (2:17:25) Lesson 7: Measures of Center
⌨️ (2:48:20) Lesson 8: Measures of Dispersion
⌨️ (3:19:27) Lesson 9: Measures of relative position
⌨️ (3:44::09) Lesson 10: Introduction to probability
⌨️ (4:02:15) Lesson 11: Addition rules for probability
⌨️ (4:16:7) Lesson 12: Multiplication rules for probability
⌨️ (4:33:18) Lesson 13: Combinations and permutations
⌨️ (4:46:11) Lesson 14: Combining probability and counting techniques
⌨️ (4:57:09) Lesson 15: Discreate distribution
⌨️ (5:21:08) Lesson 16: The binomial distribution
⌨️ (5:43:10) Lesson 17: The poisson distribution
⌨️ (6:01:15) Lesson 18: The hypergeometric
⌨️ (6:21:10) Lesson 19: The uniform distribution
⌨️ (6:46:59) Lesson 20: The exponential distribution
⌨️ (7:02:01) Lesson 21: The normal distribution
⌨️ (7:21:06) Lesson 22: Approximating the binomial
⌨️ (7:42:36) Lesson 23: The central limit theorem
⌨️ (7:56:54) Lesson 24: The distribution of sample mean
⌨️ (8:22:03) Lesson 25: The distribution of sample proportion
⌨️ (8:41:50) Lesson 26: Confidence interval
⌨️ (9:09:32) Lesson 27: The theory of hypothesis testing
⌨️ (9:53:50) Lesson 28: Handling proportions
⌨️ (10:21:38) Lesson 29: Discrete distributing matching
⌨️ (10:50:05) Lesson 30: Categorical independence
⌨️ (11:11:53) Lesson 31: Analysis of variance

[GeeksLesson]

⭐️ Table of Contents ⭐️
⌨️ (0:00) Lesson 1: Getting started with statistics
⌨️ (16:57) Lesson 2: Data Classification
⌨️ (40:32) Lesson 3: The process of statistical study
⌨️ (1:05:30) Lesson 4: Frequency distribution
⌨️ (1:28:48) Lesson 5: Graphical displays of data
⌨️ (2:05:34) Lesson 6: Analyzing graph
⌨️ (2:17:25) Lesson 7: Measures of Center
⌨️ (2:48:20) Lesson 8: Measures of Dispersion
⌨️ (3:19:27) Lesson 9: Measures of relative position
⌨️ (3:44:09) Lesson 10: Introduction to probability
⌨️ (4:02:15) Lesson 11: Addition rules for probability
⌨️ (4:16:07) Lesson 12: Multiplication rules for probability
⌨️ (4:33:18) Lesson 13: Combinations and permutations
⌨️ (4:46:11) Lesson 14: Combining probability and counting techniques
⌨️ (4:57:09) Lesson 15: Discreate distribution
⌨️ (5:21:08) Lesson 16: The binomial distribution
⌨️ (5:43:10) Lesson 17: The poisson distribution
⌨️ (6:01:15) Lesson 18: The hypergeometric
⌨️ (6:21:10) Lesson 19: The uniform distribution
⌨️ (6:46:59) Lesson 20: The exponential distribution
⌨️ (7:02:01) Lesson 21: The normal distribution
⌨️ (7:21:06) Lesson 22: Approximating the binomial
⌨️ (7:42:36) Lesson 23: The central limit theorem
⌨️ (7:56:54) Lesson 24: The distribution of sample mean
⌨️ (8:22:03) Lesson 25: The distribution of sample proportion
⌨️ (8:41:50) Lesson 26: Confidence interval
⌨️ (9:09:32) Lesson 27: The theory of hypothesis testing
⌨️ (9:53:50) Lesson 28: Handling proportions
⌨️ (10:21:38) Lesson 29: Discrete distributing matching
⌨️ (10:50:05) Lesson 30: Categorical independence
⌨️ (11:11:53) Lesson 31: Analysis of variance

[FRANKWHITE]

i love internet, i love youtube, i love content creators, i love this channel - you can learn whatever you desire. mindblowing.

[FrancisBuera]

Can't believe a 11 hour course video about statistics is for free??? Thankyou so much for this

[黎銘-sn]

I completed the course this week on the 31st, March, 2021, after 3 months hard work. 
Though it's a little pity that there's not a supplement ebook for the lectures, it's a great course on statistics, which I compare as precision shooting. So happy I get the hang of this art with the help of the video course.
In order to consolidate the precious knowlege learnt in the course, I'm replaying all the concepts learnt here by following a course lectured by Dr. James Abdey from University of London on Coursera, which I compare to climbing to the top of the mountain by another route.
Get on the top guys, the feeling is fabulous.

[pauldarthurs]

Wow, fantastic course for free! Thank you for the opportunity to learn, and keep doing what you do.

[ecological]

Man i can't believe internet has such gems. This is wonderful!!!

[leminhduy]

I've learned stats during my time in highschool and chemical engineering school, but it seems boring and hard to learn for me. Thanks to this lecture, stats become more familiar to me and sparks in me. Many thanks for your contribution!

[shobhamourya]

@6:35:31
CDF = F(x) = shaded area = 1 - non-shaded area =
1 - (width of non-shaded rectange)*(height of non-shaded rectangle) =
1 - (b-x)*1/(b-a) =
(b - a - b + x) /(b - a) =
(x - a) / (b - a)

[merveilmeok]

Thanks and it's amazing that your department can put the entire course on YouTube. Thanks. I have seen the same course in undergrad and graduate and it's a core of business. I still read business subjects.

[AmanSharma-yzge]

4:59:00 pause 11
4:33:00 pause 10
4:00:00 pause 9
3:19:40 pause 8
2:48:11 pause 7
2:00:57 pause 6
1:10:11 pause 5
1:04:12 pause 4
40:42 pause 3
17:12 pause 2
5:19 Pause 1

[YosefWorku-mpof]

This is one of the best approaches to lecturing I have ever seen in statistics courses.

[jjco]

omg, I just understood what I was banging my head for during 4 semesters in university, and in less than 2 days

[mohammedahmedjalloh]

This course come at a time mostly needed, most especially with the online learning system at this moment. Thank you Geeks

[morenomt]

I don't know why this channel have few views but these are the best clear and concise tutorials I have seen in YouTube

[shriyathabe]

I'm statistics major student you guys just made my learning process easier. Thank you so much

[rosemarydara]

amazing! this is what I was searching for years.

[belkyhernandez]

For young people who may miss the reference: Every town used to have a book which was sent to each household, government office and business for free if you had a telephone. The book included an alphabetical listing of every household, government and business phone in the town. This is a phone book. Home phones were listed in white pages, business phones were listed in yellow pages, and government phones were listed in blue pages. When we wanted to find a phone number we "Let our fingers do the walking ". The book also included maps, zips codes, area codes, time codes, emergency tips and other useful information. If you wanted your number to be private, you had to pay a fee. You could also pay extra to have your name in bold letters.

[tauchainagoras]

Descriptive stat tells about the present scenario.
Inferential stat tells what it thinks in the future "hypothesis"

[shyamkansara]

That covers my biostatistics topic thanks a lot I am a medical student and was very much confused before this video but your video make my concept crystal clear..thanks..Love from india 🇮🇳🇮🇳

[alphaaspirant]

Excellent work man. May God bless you for all the efforts. I am going to attempt in my national competitive exam and this is going to help me a lot.